updated meta data

README.md

@@ -1,3 +1,19 @@
+---
+language: 
+  - en
+
+license:
+- mit  
+  
+tags:
+- BERT
+- MNLI
+- NLI
+- transformer
+- pre-training
+
+---
+
 The following model is a Pytorch pre-trained model obtained from converting Tensorflow checkpoint found in the [official Google BERT repository](https://github.com/google-research/bert). 
 
 This is one of the smaller pre-trained BERT variants, together with [bert-mini](https://huggingface.co/prajjwal1/bert-mini), [bert-tiny](https://huggingface.co/prajjwal1/bert-tiny), [bert-small](https://huggingface.co/prajjwal1/bert-small) and [bert-medium](https://huggingface.co/prajjwal1/bert-medium). They were introduced in the study [Well-Read Students Learn Better: On the Importance of Pre-training Compact Models](https://arxiv.org/abs/1908.08962), and ported to HF for the study [Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics](https://arxiv.org/abs/2110.01518). These models are supposed to be trained on a downstream task.
@@ -43,16 +59,3 @@ Original Implementation and more info can be found in [this Github repository](h
 
 Twitter: [@prajjwal_1](https://twitter.com/prajjwal_1)
 
-
----
-language: 
-  - en
-  
-tags:
-- BERT
-- MNLI
-- NLI
-- transformer
-- pre-training
-
----